SPSS Survival Manual : A Step by Step Guide to Data Analysis Using the SPSS Program,9780335242399

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SPSS Survival Manual : A Step by Step Guide to Data Analysis Using the SPSS Program

by Pallant, Julie

Edition:

4th

ISBN13:

9780335242399

ISBN10:

0335242391

Format:

Paperback

Pub. Date:

11/1/2010

Publisher(s):

Open University Press

Other versions by this Author

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Customer Reviews

Extremely helpful! May 12, 2011
by M. Lamp

This textbook should be required for any graduate student before they take on their thesis or doctoral research. It goes far in demystifying the process. The textbook is very concise and the author guides you step-by-step to learn how to use SPSS menu. This author guides you through how to perform a t-test in several steps, for instance, and then shows you how to interpret the output in a detailed manner. If you need help using SPSS to evaluate research data -- get this textbook. A lifesaver!

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SPSS Survival Manual : A Step by Step Guide to Data Analysis Using the SPSS Program: 5 out of 5 stars based on 1 user reviews.

Summary

Julie Pallant's SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis software.

In this thoroughly revised edition of her bestselling text, now covering up to version 18 of the SPSS software, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project.

From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with easy to follow step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. In this fourth edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A number of additional techniques (McNemar's Test, Cochran's Q Test) have been included in the Non_parametric Statistics chapter.

For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is THE essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.

"It reads as though someone is sitting next to you conversing with you and taking you through it ... It has a reassuring tone. Julie Pallant writes in a kind and inclusive way which students appreciate."-Sue Thorpe, Lecturer in Research Methods, Department of Psychology, University of Surrey, UK.

"Its key strengths are clarity, clear English, clear explanations, and clear examples. What this book does well is to provide easy, straightforward explanations."-Martin Lea, Senior Lecturer, School of Psychological Sciences, University of Manchester, UK.

"An excellent introduction to using SPSS for data analysis... It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided."

-Associate Professor George Dunbar, Department of Psychology, University of Warwick, UK.

Preface
Data files and website
Introduction and overview

Part One: Getting started

Designing a study
Preparing a codebook
Getting to know SPSS

Part Two: Preparing the data file

Creating a data file and entering data
Screening and cleaning the data

Part Three: Preliminary analyses

Descriptive statistics
Using graphs to describe and explore the data
Manipulating the data
Checking the reliability of a scale
Choosing the right statistic

Part Four: Statistical techniques to explore relationships among variables

Correlation
Partial correlation
Multiple regression
Logistic regression
Factor analysis

Part Five: Statistical techniques to compare groups

Non-parametric statistics
T-tests
One-way analysis of variance
Two-way between-groups ANOVA
Mixed between-within subjects analysis of variance
Multivariate analysis of variance
Analysis of covariance

Appendix: Details of data files
Recommended reading
References
Index